Recommending search experiences

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Title: Recommending search experiences
Authors: Saaya, Zurina
Smyth, Barry
Coyle, Maurice
Briggs, Peter
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Date: 31-Aug-2011
Online since: 2012-01-26T15:03:37Z
Abstract: In this paper we focus on a multi-case case-based reasoning system to support users during collaborative search tasks. In particular we describe how repositories of search experiences/knowledge can be recommended to users at search time. These recommendations are evaluated using real-world search data.
Funding Details: Science Foundation Ireland
Type of material: Conference Publication
Publisher: Intelligent Systems Research Centre
Keywords: Social searchContext recommendation
Subject LCSH: Recommender systems (Information filtering)
Web co-browsing--Software
Internet searching--Software
Online social networks
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Language: en
Status of Item: Peer reviewed
Is part of: AICS 2011 : Proceedings of the 22nd Irish Conference on Artificial Intelligence and Cognitive Science : 31 August - 2 September, 2011 : University of Ulster - Magee
Conference Details: Paper presented at the 22nd Irish Conference on Artificial Intelligence and Cognitive Science (AICS 2011), University of Ulster, Northern Ireland, 31 August - 2 September, 2011
Appears in Collections:CLARITY Research Collection
Computer Science Research Collection

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